great_expectations.expectations.core.expect_table_row_count_to_equal_other_table

Module Contents

Classes

ExpectTableRowCountToEqualOtherTable(configuration: Optional[ExpectationConfiguration] = None)

Expect the number of rows to equal the number in another table.

class great_expectations.expectations.core.expect_table_row_count_to_equal_other_table.ExpectTableRowCountToEqualOtherTable(configuration: Optional[ExpectationConfiguration] = None)

Bases: great_expectations.expectations.expectation.TableExpectation

Expect the number of rows to equal the number in another table.

expect_table_row_count_to_equal_other_table is a expectation, not a column_map_expectation or column_aggregate_expectation.

Parameters

other_table_name (str) – The name of the other table.

Other Parameters
  • result_format (string or None) – Which output mode to use: BOOLEAN_ONLY, BASIC, COMPLETE, or SUMMARY. For more detail, see result_format.

  • include_config (boolean) – If True, then include the expectation config as part of the result object. For more detail, see include_config.

  • catch_exceptions (boolean or None) – If True, then catch exceptions and include them as part of the result object. For more detail, see catch_exceptions.

  • meta (dict or None) – A JSON-serializable dictionary (nesting allowed) that will be included in the output without modification. For more detail, see meta.

Returns

An ExpectationSuiteValidationResult

Exact fields vary depending on the values passed to result_format and include_config, catch_exceptions, and meta.

See also

expect_table_row_count_to_be_between

library_metadata
metric_dependencies = ['table.row_count']
success_keys = ['other_table_name']
default_kwarg_values
args_keys = ['other_table_name']
classmethod _atomic_prescriptive_template(cls, configuration=None, result=None, language=None, runtime_configuration=None, **kwargs)

Template function that contains the logic that is shared by atomic.prescriptive.summary (GE Cloud) and renderer.prescriptive (OSS GE)

classmethod _prescriptive_renderer(cls, configuration=None, result=None, language=None, runtime_configuration=None, **kwargs)
classmethod _diagnostic_observed_value_renderer(cls, configuration=None, result=None, language=None, runtime_configuration=None, **kwargs)
get_validation_dependencies(self, configuration: Optional[ExpectationConfiguration] = None, execution_engine: Optional[ExecutionEngine] = None, runtime_configuration: Optional[dict] = None)

Returns the result format and metrics required to validate this Expectation using the provided result format.

_validate(self, configuration: ExpectationConfiguration, metrics: Dict, runtime_configuration: dict = None, execution_engine: ExecutionEngine = None)